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Römer, Stijn (author)
Recent developments in \ac{ML} have paved the way for unprecedented possibilities in the field of data analytics in numerous team sports, such as American football, baseball, and basketball. In more recent years, \ac{ML} techniques have been applied to football as professional teams got inspired to collect enormous quantities of data to evaluate...
master thesis 2022
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Kerssemakers, Tom (author)
With over 75,000 attributed deaths in 2020, opioid overdose is now the leading cause of death amongst Americans under the age of 50. With record-breaking increases in fatalities for the past 10 years, fentanyl in particular has many experts worried about the future of the opioid epidemic. To reverse opioid overdose there exists a drug called...
master thesis 2022
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Sweering, Tim (author)
In this thesis we investigate the possibilities for applying Koopman methods for reachability analysis. Reachability analysis is a verification process used to determine that a dynamical system starting in an initial set X0 cannot reach a certain set of dangerous states D within a time interval [0,T]. Koopman methods seem promising, because they...
master thesis 2021
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van der Zijden, Tycho van der Zijden (author)
In networked control systems (NCS), the components of the control system communicate over a network, which poses challenges to the control synthesis procedure. Signal sampling is one of those challenges. A typical approach is to sample the signal periodically, but this can be inefficient. Event-triggered control (ETC) is a more efficient way to...
student report 2021
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van Straalen, Ivo (author)
In recent years, Networked Control Systems (NCS) have become more popular, partly because of the increasing accessibility. In NCS, multiple plants and controllers are connected over a wired or wireless shared network, possibly having significant spatial separation. A major issue that arises is network congestion: If too many control loops are...
master thesis 2021
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Crompvoets, JPA (author)
Over the past decade, a new concept for the power grid called the smart grid emerged, to enable two way energy transport and communication. With this new smart grid architecture many opportunities for control methods arise. While this can improve the efficiency of the power grid, all these methods require communication, which is a limited...
master thesis 2021
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van Wilsum, Max (author)
Based on sparsity maximization we propose a controller for Multiple Daily Injections (MDI)therapy for Type 1 Diabetes melitus (T1DM) individuals. Based on convex relaxations onthe sparsity maximization problems and by implementing personalised linear models of pa-tient we formulate a model predictive controller to determine insulin boluses. By...
master thesis 2021
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Lanka, Indeevar Shyam (author)
Vehicles are becoming increasingly complex and the resource-demanding due to the developments aimed at driving autonomy. Viewing an automobile as a cyber-physical system (CPS), this work applies the advances of controls applied to CPS for improving resource-consumption. One such idea is that of event-based control. Theoretical developments in...
master thesis 2021
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Klein Schiphorst, Jonathan (author)
Stability, safety and optimality are often sought-after properties in the field of controller synthesis. In the last century, linear control theory has matured to a level where scalable algorithms are widely available that are able to synthesize controllers with stability and optimality guarantee. However, the synthesis of safe controllers...
master thesis 2021
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Zwart, Joost (author)
System identification for switched linear systems from input output data has received substantial attention in recent years. There is a growing interest for techniques that pose the identification problem as a sparse optimisation problem. At the same time a vast amount of research is dedicated to improving SAT solvers which as a result become...
master thesis 2019
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van Lookeren Campagne, Gijs (author)
In recent years, research in the field of autonomous driving has been subject to a significant increase in interest. Along with the advances in automation and electrification, cars are slowly transitioning to computers on wheels. The ever-increasing processing power in vehicles gives rise to the implementation of advanced control strategies. The...
master thesis 2019
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Durieux, Bram (author)
The extraordinary capability of swarming ant species in route finding and foraging efficiency through trail trail development has been studied for many years. Scientists have been able to capture the behavior of individual ants in control algorithms and used the resulting artificial swarm of ants to solve difficult problems. These problems...
master thesis 2019
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Bosma, Stijn (author)
A repetitive motion system supporting nano meter precision is positioned at high accelerations, which produces a force that disturbs the demanded accuracy requirements. Iterative learning control is used to learn optimal feedforward control signals for the attenuation this disturbance force. The iterative method comes with a limitation, as it...
master thesis 2019
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de Vries, Maarten (author)
Pose estimation through fusion of GNSS with secondary sensors has long been an established field. With the developments surrounding autonomous navigation over the past decade this topic has gained extra importance. In the current literature GNSS based pose and localisation is often improved through fusion with either a IMU}or VS with the goal of...
master thesis 2019
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Aarnts, Thomas (author)
The rise of vehicle usage causes roads to reach capacity limits. When capacity is reached, traffic jams and accidents are more likely to occur. By raising the efficiency of traffic, the capacity of roads can benefit without the need to expand infrastructure. Automating longitudinal controls of vehicles and creating vehicle platoons show...
master thesis 2019
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Angga Irawan, Angga (author)
Controller synthesis techniques based on symbolic models or discrete abstractions are becoming increasingly attractive as they allow for synthesizing correct-by-design controllers of general nonlinear systems under complex behavioral requirements. However, its immense size as the consequence of the state-space explosion prohibits the approach to...
master thesis 2018
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Hashish, Ahmed (author)
This thesis covers the implementation of Event-Triggering Control (ETC) on Cooperative Adaptive Cruise Control (CACC). CACC has the potential to increase road capacity, by having safe vehicle following with small intervehicle distance (less than 1 second), to increase traffic flow by eliminating shockwave effects, such that string-stable...
master thesis 2018
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Capelle, lotte (author)
This thesis describes three different predictive frameworks which are applied to improve the interaction behavior between a robot and their users. Machine learning is used to train the frameworks. The training data contains information obtained from one user over a period of approximately 3 to 30 days. This work is applied to the LEA robot: an...
master thesis 2018
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van der Arend, Marco (author)
One of the phases of the installation of Offshore Wind Turbines is the installation of the foundation for the turbine. Herein, a monopile is one of the most frequently used foundation-types. This monopile is a high steel cylinder, over 60 meters high, which supports the wind turbine to the seabed. Currently, monopiles are lifted with large boom...
master thesis 2017
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Paul, S. (author)
Over the last decade there has been a shift in focus from traditional sampled-data control to event-triggered control (ETC) as it promises to be better suited for systems with shared communication media, especially wireless systems. The mote lifetime in case of wireless sensor actuator networks (WSAN) is crucial and can be improved by utilizing...
master thesis 2016
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